Twilio

Staff Product Manager- Enterprise AI

Vaga remota de Product Management com fit claro de localização do candidato.

PublicadaAdicionada recentemente

Países elegíveis1 país aceito

Sinal de senioridadeLead

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Estados Unidos

Salesforce SQL

Posso mesmo aplicar?Confira a lista de países

Países aceitos para candidatos estão listados (1).

Atualidade da fonteAdicionada recentemente

Fit de localização1 país aceito

Match de stackSalesforce, SQL

Caminho de aplicaçãoSite da empresa

Resumo de fit da MiraPor que vale revisar esta vaga

Fit de localização1 país aceitoAdicione seu país

Match de stackAdicione skills ao perfil para compararSalesforce, SQL

Sinal de senioridadeLeadDefina seu nível para uma análise mais precisa.

Prontidão para aplicarSite da empresaA aplicação continua no site da empresa.

Aplicação

Aplicar no site da empresa

Aplicação externa

Aplicando paraStaff Product Manager- Enterprise AITwilio

Fit de país1 país aceito

Caminho de aplicaçãoSite da empresa

WithMiraSalve ou assine antes de sair

Aplicação da empresa

O WithMira mantém esta vaga para descoberta. A aplicação continua no site da empresa.

Aplicar no site da empresa

Salvar vaga

Resumo da vaga

Staff Product Manager- Enterprise AI

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Product Strategy & Roadmap

Define and execute the product roadmap for Enterprise AI spanning GTM functions (Sales, Support, Operations) and Corporate Functions (Finance, Legal, HR). Establish clear priorities, milestones, and success metrics that align with business objectives and drive measurable improvements.
Lead cross-functional product development across multiple business domains, balancing the needs of diverse stakeholders within a unified platform strategy.

GTM AI Capabilities

Build AI-powered solutions across Sales, Support, and Operations functions that drive measurable GTM improvements. This includes sales productivity tools (intelligent account insights, opportunity management, propensity-to-buy signals, automated CRM workflows), support automation (case deflection, intelligent triage, agent assistance, knowledge retrieval), and compliance/risk operations (automated user vetting, fraud detection, compliance investigation dashboards, workflow orchestration for onboarding and audits).

Corporate Functions AI Capabilities

Build AI-powered solutions across Finance, Legal, and HR functions that transform operational efficiency. This includes financial automation (invoice/billing processing, expense management, automated reconciliation, forecasting and analytics), legal operations (contract review and generation, clause extraction, compliance tracking, risk assessment tools), and HR productivity (recruiting automation, candidate screening, onboarding workflows, employee self-service, benefits administration).

Platform Integration & Execution

Leverage the Enterprise AI platform to build agentic solutions using multi-agent architecture, knowledge retrieval, workflow automation, and LLM-powered reasoning tailored to each business function.
Integrate with enterprise systems including Salesforce, Zendesk, Workday, NetSuite, DocuSign, compliance platforms (Sift, etc.), contract management platforms, HRIS systems, and internal Twilio tools to deliver seamless, embedded AI experiences.
Partner with Engineering, Data Science, and AI/ML teams to operationalize models, build production-grade products, and ensure scalability, reliability, and performance across all use cases.

Stakeholder Management & Adoption

Collaborate with business leaders across GTM and Corporate Functions to understand their strategic priorities, operational challenges, and success metrics. Translate these into product requirements and clear roadmaps.
Drive adoption and enablement by working directly with end users, training teams on new AI capabilities, gathering feedback, and iterating on product experiences.
Measure and communicate impact through clear metrics on productivity gains, efficiency improvements, cost savings, and business outcomes driven by AI products.

Required:

7+ years of product management experience at fast-paced technology companies, with at least 3 years in GTM functions (sales operations, customer support, compliance/risk operations) and/or Corporate Functions (finance operations, legal tech, HR tech)
Deep understanding of at least two of the following domains: sales workflows and CRM systems, customer support operations and help desk platforms, compliance/risk operations and fraud detection systems, financial operations and ERP systems, legal operations and contract lifecycle management, HR operations and human capital management systems
Proven ability to build products that serve diverse user personas and use cases within a unified platform strategy
Strong technical fluency with AI/ML concepts, agentic systems, workflow automation, and conversational AI
Proficiency with SQL and ability to extract, analyze, and interpret data independently to inform product decisions
Excellent stakeholder management skills with experience influencing senior leaders and driving cross-functional alignment
Demonstrated success delivering measurable business impact through product innovation and operational efficiency
Bachelor's degree or equivalent experience

Desired:

Experience with AI-powered sales tools, support automation platforms, compliance/risk management systems, finance tools, legal tech platforms, or HR automation systems
Knowledge of enterprise platforms including Salesforce, Zendesk, Workday, and other enterprise systems
Familiarity with sales methodologies (MEDDPICC, etc.), support best practices (ITIL), operational excellence frameworks, finance best practices (financial close, procurement, FP&A), legal operations (contract management, matter management), and HR processes (recruiting, onboarding, HRIS administration)
Background in building internal tools, operational dashboards, or productivity platforms for business functions
Experience with recommendation systems, predictive analytics, ML-driven insights, document processing, intelligent document understanding, or knowledge management systems
Track record of driving adoption of new products across large, distributed teams

Desired:

Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400.
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640- $205,800.
Based in the San Francisco Bay area, California: $182,960 - $228,700.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

Vagas similares